Cette Gilbert, Devillard Aurélien, Spiezia Vincenzo
Banque de France, 31 rue Croix des Petits Champs, 75049 Cedex 01 Paris, France.
NEOMA Business School and Banque de France, Paris, France.
Comp Econ Stud. 2022;64(2):159-185. doi: 10.1057/s41294-021-00170-3. Epub 2021 Oct 28.
Using a new and original database, our paper contributes to the growth accounting literature with three original aspects: First, it covers a long period from the early 60's to 2019, just before the COVID-19 crisis; second, it analyzes a large set of economies (30 plus the Euro Area) at the country level; finally, it singles out the growth contribution of information and communications technologies (ICTs) capital as well as robots. Our findings show that the main drivers of labor productivity growth over the whole 1960-2019 period appear to have been education, total factor productivity (TFP), non-ICT and non-robot capital deepening. The relative contribution of ICT capital is found to be declining from the mid-2000s, although our country-level economy dataset does not make it possible to estimate the TFP contribution of ICTs. The contribution of robots to productivity growth through capital deepening and TFP appears to be significant in Germany and Japan in the sub-period 1975-1995, in France and Italy in 1995-2005, and in several Eastern European countries in 2005-2019. Our findings also confirm the slowdown in TFP in most countries from at least 1995 onwards. This slowdown is mainly accounted for by a decrease in the contributions of non-ICT non-robot capital deepening and TFP.
利用一个全新的数据库,我们的论文在三个方面为增长核算文献做出了原创性贡献:第一,它涵盖了从20世纪60年代初到2019年(即新冠疫情危机爆发前夕)的很长一段时间;第二,它在国家层面分析了大量经济体(30个国家加上欧元区);最后,它特别指出了信息和通信技术(ICT)资本以及机器人对增长的贡献。我们的研究结果表明,在1960 - 2019年整个时期,劳动生产率增长的主要驱动因素似乎是教育、全要素生产率(TFP)、非ICT和非机器人资本深化。尽管我们的国家层面经济数据集无法估算ICT的TFP贡献,但发现ICT资本的相对贡献自21世纪中期以来一直在下降。在1975 - 1995年的子时期,机器人通过资本深化和TFP对生产率增长的贡献在德国和日本较为显著;在1995 - 2005年在法国和意大利较为显著;在2005 - 2019年在几个东欧国家较为显著。我们的研究结果还证实,至少从1995年起,大多数国家的TFP出现放缓。这种放缓主要是由于非ICT非机器人资本深化和TFP的贡献下降所致。